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Paper Citation Record · LEDGER

Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.07196.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2304.07196 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:53.011013Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T01:40:37.065963Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 72e61b55-f4a3-4882-98cc-7f99a2c60471 · inbound

High-Dimensional Unfolding in Large Backgrounds cites this paper.

High-Dimensional Unfolding in Large Backgrounds Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:53.011013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:53.011013Z digest=sha256:21253cdd0cba4de60a3a6288a24d987a31943fd2eb1f6f41cc009683b45e8ddd

Observation 473f3192-f9d2-44b6-a5d9-fb839516bdf8 · inbound

Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions cites this paper.

Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:40:37.067852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T01:37:46.464868Z digest=sha256:5e3d6f7ebc8cbad00dea9809f3fe2ec0568bb35978ac7cd8782109259196ec88